--- license: apache-2.0 base_model: google/t5-efficient-tiny tags: - generated_from_keras_callback model-index: - name: SouthMemphis/t5-tiny_for_summarization results: [] --- # SouthMemphis/t5-tiny_for_summarization This model is a fine-tuned version of [google/t5-efficient-tiny](https://huggingface.co/google/t5-efficient-tiny) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 5.1618 - Validation Loss: 3.7340 - Train Rouge1: 19.5200 - Train Rouge2: 3.7088 - Train Rougel: 16.1766 - Train Rougelsum: 16.1763 - Train Gen Len: 15.528 - Epoch: 1 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch | |:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:| | 6.2678 | 3.9891 | 17.7562 | 3.0062 | 14.6825 | 14.7004 | 14.717 | 0 | | 5.1618 | 3.7340 | 19.5200 | 3.7088 | 16.1766 | 16.1763 | 15.528 | 1 | ### Framework versions - Transformers 4.33.1 - TensorFlow 2.15.0-dev20230905 - Datasets 2.14.4 - Tokenizers 0.13.3